A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography of the lower extremities.
Journal:
BMC medical imaging
PMID:
38956583
Abstract
PURPOSE: To examine whether there is a significant difference in image quality between the deep learning reconstruction (DLR [AiCE, Advanced Intelligent Clear-IQ Engine]) and hybrid iterative reconstruction (HIR [AIDR 3D, adaptive iterative dose reduction three dimensional]) algorithms on the conventional enhanced and CE-boost (contrast-enhancement-boost) images of indirect computed tomography venography (CTV) of lower extremities.
Authors
Keywords
Adult
Aged
Aged, 80 and over
Algorithms
Computed Tomography Angiography
Contrast Media
Deep Learning
Female
Femoral Vein
Humans
Lower Extremity
Male
Middle Aged
Phlebography
Popliteal Vein
Radiation Dosage
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Tomography, X-Ray Computed
Varicose Veins
Vena Cava, Inferior
Venous Thrombosis